Evidence map›Paper›PMID 42069223›Full record

ArticleThe American journal of clinical nutrition2026

Optimal measures of carbohydrate quality to lower the risk of type 2 diabetes: findings from 3 prospective cohort studies.

Hala B AlEssa, Tong Xia, Seyed Mohammad Mousavi, Caleigh Sawicki, Walter C Willett, Shilpa N Bhupathiraju, Frank B Hu

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Article in The American journal of clinical nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hala B AlEssaDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Public Health Practice, College of Public Health, Kuwait University, Kuwait City, Kuwait.
Tong XiaChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Seyed Mohammad MousaviDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Caleigh SawickiChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Walter C WillettDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Shilpa N BhupathirajuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States. Electronic address: fhu@hsph.harvard.edu.

Funding

Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Integrating lifecourse approaches, biologic and digital phenotypes in support of heart and lung disease epidemiologic researchU01HL145386 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI CHAVARRO, JORGE EDUARDO, MANSON, JOANN ELISABETH · 2019 to 2025
$17.8M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
Dietary Etiology of Heart DiseaseR01HL035464 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ERIC B RIMM, Qi Sun · 1986 to 2026
$13.6M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
Risk Factors for Ischemic Stroke in WomenR01HL088521 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REXRODE, KATHRYN M · 2008 to 2025
$9.9M
DIETARY PATTERNS AND RISK OF CARDIOVASCULAR DISEASER01HL060712 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HU, FRANK B, QI, QIBIN · 1998 to 2021
$8.0M
Metabolomics Core for the Dietary Biomarkers Development Center at Harvard UniversityU2CDK129670 · NIDDK · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI SUN, QI · 2021 to 2025
$7.0M
NCI NIH HHS R01 CA049449NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA186107NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL035464NHLBI NIH HHS R01 HL060712NHLBI NIH HHS R01 HL088521NHLBI NIH HHS U01 HL145386NIDDK NIH HHS U2C DK129670
6 · The paper itself

Abstract

backgroundNumerous carbohydrate quality metrics (CQMs) have been suggested, yet the optimal one(s) associated with the lowest type 2 diabetes (T2D) risk remains unknown.

objectivesWe aimed to systematically compare 23 CQMs with T2D risk, identify the 5 strongest associations, propose an alternate Carbohydrate Quality Index (aCQI), and compare it with the existing CQI regarding T2D risk and cardiometabolic biomarkers.

methodsWe included participants of 3 prospective cohort studies [Nurses' Health Study I (1984-2020) and II (1991-2019), and Health Professionals Follow-up Study (1986-2020)], who were free of cancer, diabetes, and cardiovascular disease. Our primary outcome was incident T2D. We examined 13 plasma biomarkers in relation to CQIs among a subset.

resultsDuring 5,628,955 person-years of follow-up among 213,704 adults, 22,351 cases of incident T2D were ascertained. In multivariable-adjusted models, comparing Q5 to Q1, intakes of cereal fiber [relative risk (RR): 0.77 (0.74-0.81)], whole-fruit carbohydrates [RR: 0.80 (0.76-0.84)], glycemic index [RR: 1.20 (1.14-1.26)], sugar from sugar-sweetened beverages [RR: 1.22 (1.17-1.28)], and whole-grain carbohydrates [RR: 0.86 (0.82-0.91)] had the strongest associations with T2D risk. The aCQI [RR: 0.71 (0.68-0.75)], comprising these variables, had a larger magnitude of association with T2D risk than the original CQI [RR: 0.82 (0.79-0.87)], which included total fiber intake, glycemic index, the ratios of whole to total grains, and solid to total carbohydrates. The aCQI had significant associations with a larger percentage of differences in cardiometabolic biomarker concentrations, such as C-peptide, leptin, and LDL cholesterol, than the CQI (all P-trend ≤ 0.001).

conclusionsThe novel aCQI, comprised carbohydrates from whole fruits, whole grains, sugar-sweetened beverages, cereal fiber, and glycemic index, was more strongly associated with risk of T2D and cardiometabolic biomarkers than its individual components or the existing CQI, necessitating further research.

Indexed as

Diabetes Mellitus, Type 2Dietary CarbohydratesAdultBiomarkersDietary FiberFemaleGlycemic IndexHumansMaleMiddle AgedProspective StudiesRisk FactorsWhole GrainsBiomarkersDietary CarbohydratesDietary Fiberalternate carbohydrate quality indexcarbohydrate qualitydietary fiberfruit juiceglycemic indexsugar-sweetened beveragestype 2 diabeteswhole grains

Identifiers

PMID42069223
PMCPMC13222467

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.